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Why has the biotechnology industry failed to perform up to expectations? This book attempts to answer this question by providing a critique of the industry. It reveals the causes of biotech's problems and offers an analysis on how the industry works. It also provides prescriptions for companies, seeking ways to improve the industry's performance.
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates
If you are in business, you are in the business of behaviour – and unless a business influences behaviour, it will not succeed. In the last 50 years we have learnt more about how we behave than over the previous 5,000. This book shows how behavioural science has revolutionised our understanding of how people really think (or don’t) – and how we can use those insights in our businesses to influence behaviour and gain competitive advantage. Richard Chataway is Director of Behavioural Science at Gobeyond Partners and has experience in everything from getting people to join the armed forces, drink spirits rather than wine, and buy flatpack furniture – to developing the world’s most successful stop-smoking mobile app. Introducing the leading thinkers and practitioners from this new field (and sharing dozens of real-world examples), Richard guides readers through the hidden influences, biases and fallacies that influence the behaviour of customers, employees, and business leaders alike – and shows how we can ethically use these insights to: • powerfully attract and retain customers • fuel true and lasting innovation • stand apart in the new world of increasing automation and artificial intelligence • change workplaces and maintain happy and productive employees and teams • and a lot more! It’s time to shape behaviour instead of simply reacting to it. The Behaviour Business is the eye-opening, practical guide you have been waiting for.
There are hidden laws at work in every aspect of your business. Understand them, and you can create extraordinary growth. Ignore them, and you run the risk of becoming another statistic. It's become almost cliche: 8 out of every 10 new ventures fail. Of the ones that succeed, how many truly thrive-for the long run? And of those that thrive, how many continually overcome their growth hurdles ... and ultimately scale, with meaning, purpose, and profitability? The answer, sadly, is not many. Author Lex Sisney is on a mission to change that picture. After more than a decade spent leading and coaching high-growth technology companies, Lex discovered that the companies that thrive do so in accordance with 6 Laws - universal principles that govern the success or failure of every individual, team, and organization.
Cooperation between science and business (S2B cooperation) is a very important issue from the points of view of the domestic economy, companies, and universities. This is mainly because such cooperation is a catalyst for faster and reliable development - not only of enterprises, but also of the entire economy. Thanks to S2B cooperation, enterprises can gain and commercialize new and ground-breaking solutions. Universities in turn can give their research a more practical dimension to increase its economic applicability, which helps universities prepare future staff to work in modern enterprises. The aim of this publication is to indicate how cooperation between universities and business can be implemented in an international dimension. It shows the role of modern universities in supporting the development of enterprise and entire economies as well as the role of modern enterprises that use resources located in universities (including knowledge resources). This unique combination has a positive impact on the results and developmental opportunities for each of them. Any potential obtained in this manner is the basis for creating a competitive advantage on the market. This book is devoted to a specific area of cooperation between enterprises and universities and will be of interest to researchers, academics, practitioners, and students in the fields of entrepreneurship, knowledge management, international relations, and higher education.
Cooperation between science and business (S2B cooperation) is a very important issue from the points of view of the domestic economy, companies, and universities. This is mainly because such cooperation is a catalyst for faster and reliable development – not only of enterprises, but also of the entire economy. Thanks to S2B cooperation, enterprises can gain and commercialize new and ground-breaking solutions. Universities in turn can give their research a more practical dimension to increase its economic applicability, which helps universities prepare future staff to work in modern enterprises. The aim of this publication is to indicate how cooperation between universities and business can be implemented in an international dimension. It shows the role of modern universities in supporting the development of enterprise and entire economies as well as the role of modern enterprises that use resources located in universities (including knowledge resources). This unique combination has a positive impact on the results and developmental opportunities for each of them. Any potential obtained in this manner is the basis for creating a competitive advantage on the market. This book is devoted to a specific area of cooperation between enterprises and universities and will be of interest to researchers, academics, practitioners, and students in the fields of entrepreneurship, knowledge management, international relations, and higher education.
Sustainable development sets the agenda for the 21st century. Human technological capability and needs mean that nature is and will be challenged and damaged in many ways. Whilst many social and technological innovations are being made to improve our survival prospects, they are likely to be insufficient to avoid continued social and ecological stress and the prospect of global tension if significant changes do not come about.The ideas in this book offer a new solution to sustainable development problems. They are concerned not with what we know but how we know, or rather how we order knowledge and create understanding in the human world.This book shows that some of the fundamental practices that shape modern society, especially in the business world, are the unwitting cause of unsustainable development. By extrapolating the epistemic analysis of Michel Foucault, a major social scientist, this book identifies a new episteme. It outlines a new way of ordering knowledge that better serves sustainable development.This pioneering book synthesizes the sciences of human and natural worlds and applies the findings to the creation of sustainable business models and equitable lifestyles for all.
This open access book explores the field of life science business from a multidisciplinary perspective. Applying statistical, mathematical, game-theoretic, and data science tools to pharmaceutical and biotechnology business endeavors, the book describes value creation, value maintenance, and value realization in the life sciences as a sequence of processes using the quantitative language of applied mathematics. Written by experts from a variety of fields, the contributions illustrate the shift from a deterministic to a stochastic view of the processes involved, offering a new perspective on life sciences economics. The book covers topics such as valuing and managing intellectual property in life science, licensing in the pharmaceutical business, outsourcing pharmaceutical R&D, and stochastic modelling of a pharmaceutical supply chain. The book will appeal to scholars of economics and the life sciences, as well as to professionals in chemical and pharmaceutical industries.
Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.